Behavior Learning with Constructive Neural Networks in Mobile Robotics: Robot Behavior Learning: Algorithms and Experiments - Softcover

Li, Jun

 
9783838380063: Behavior Learning with Constructive Neural Networks in Mobile Robotics: Robot Behavior Learning: Algorithms and Experiments
Softcover
ISBN 10: 3838380061 ISBN 13: 9783838380063
Verlag: LAP LAMBERT Academic Publishing, 2010

Inhaltsangabe

In behavior-based robotics, a robot achieves a required task by using various behaviors as the building blocks for that overall task. A robot behavior in turn is a sequence of sensory states and their corresponding motor actions, and extends in time and space. Making a robot able to learn (or develop) meaningful and purposeful behaviors from its own experiences has played one of the most important roles in intelligent robotics, and have been called the hallmark of intelligence. This book presents a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning, supervised learning, and reinforcement learning. The approach is characterized by the use of constructive artificial neural networks, Several novel techniques for robot learning using constructive radial basis function networks are introduced. The learning system is verified by a number of experiments involving a real robot learning different behaviors. It is shown that the learning system is useful as a generic learning component for acquiring diverse behaviors in mobile robots.

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Über die Autorin bzw. den Autor

Dr. Li Jun is currently with the College of Automation, Chongqing University, China. He received his PhD degree from the Center for Applied Autonomous Sensor Systems, Örebro University, Sweden. His research interests include learning control, mobile robots, artificial neural networks, reinforcement learning, machine learning, and automatic control.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
3838380061
ISBN 13 
9783838380063
Einband
Taschenbuch
Anzahl der Seiten
156
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Saarbrücker Vlg. f. Rechtswissensch.
customerservice@vdm-vsg.de

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